Open AccessPattern of Malocclusion among Patients Seeking Orthodontic Treatment at Hospitals and Private Clinics of Province 2, Nepal
Author(s) -
Kaushal Singh,
Binita Singh,
R. N. Yadav
Publication year - 2020
Publication title -
orthodontic journal of nepal/orthodontic journal of nepal
Language(s) - English
Resource type - Journals
eISSN - 2091-1335
pISSN - 2091-1327
DOI - 10.3126/ojn.v10i3.35491
Subject(s) - malocclusion , crowding , medicine , specialty , dentistry , orthodontics , family medicine , psychology , neuroscience
Introduction: Malocclusion affect the esthetic, function of the patients, so they seek orthodontic treatment for normal function and healthy and beautiful smile. Increase in public awareness and availability of orthodontic specialty services have led to increasing number of orthodontic patients in specialty clinics and hospitals. The objective of this study is to examine the pattern of malocclusion in the patients visiting medical and dental teaching hospitals and dental clinics and to measure the different Angle’s classification of malocclusion with discrepancies in all three planes.
Materials and Method: Three hundred seventeen acceptable study casts were selected from 403 case records of orthodontic patients who visited the different hospitals and private clinics of Province 2, Nepal. A standard guidance of Angle’s classification was used to classify the cases and casts were measured to record the data. Different Angle’s classification of malocclusion with discrepancies in all three planes was studied. Descriptive statistics (frequency, percentage, mean and SD) and inferential statistics (chi square and fisher exact test) was used to find out the association between occlusal traits and demographic variables.
Result: According to the Angle’s classification of malocclusion, most of the patient’s cast 65.9% were of class I, followed by class II 31.8%, class III 5.3% occlusion pattern. Among the class II malocclusion, class II division 1 malocclusion was more prevalent (86.13%). Under space discrepancies, crowding of teeth was present in 42.58% of patient. Of the total teeth crowding patient, 70.3% had crowding of teeth in both the arches followed by only mandibular arch (25.18%). There is statistically significant association between the age and the occlusal traits like crowding (p value 0.008), spacing (p value 0.000) and overjet (p value 0.000) at 0.01 level of significance.
Conclusion: Angle’s class I was the most prevalent malocclusion followed by class II and class III. Increased overjet was the commonest occlusal trait. There was statistically significant association between the age and occlusal traits like crowding, spacing and overjet.